{"id":"W2294102067","doi":"","title":"A Description of ZZ_INFO_TECH System at KBP 2013","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ranking (information retrieval); Heuristic; Task (project management); Context (archaeology); Similarity (geometry); Filter (signal processing); Support vector machine; Data mining; Information retrieval; Population; Train; Knowledge base; Simple (philosophy); Artificial intelligence; Machine learning; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399148,0.00152983,0.001308005,0.003392226,0.001276727,0.003060808,0.003290203,0.001226491,0.0948707],"category_scores_gemma":[0.00339552,0.001206904,0.0007526653,0.003615278,0.0003600578,0.003566245,0.00208247,0.001247595,0.08916218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363619,"about_ca_system_score_gemma":0.001568732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259832,"about_ca_topic_score_gemma":0.007162664,"domain_scores_codex":[0.9982571,0.0002190512,0.0002256127,0.0004483703,0.000690979,0.0001589791],"domain_scores_gemma":[0.9988406,0.0002057199,0.0000585831,0.0003327675,0.0004556511,0.0001066909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009923334,0.0002916086,0.003156727,0.001418079,0.0001608842,0.0007281648,0.0004101546,0.003567117,0.02650623,0.004974258,0.7730579,0.1847365],"study_design_scores_gemma":[0.0004375943,0.0002670819,0.009659549,0.0001697322,0.0001901574,0.001551348,0.0003155066,0.04757041,0.04174051,0.007212557,0.8905718,0.0003137145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01135247,0.001300933,0.2122906,0.001052889,0.000316805,0.001988153,0.1838955,0.5296167,0.0581859],"genre_scores_gemma":[0.08478981,0.001005184,0.1996911,0.001528549,0.0002236386,0.003186357,0.6300405,0.02804652,0.05148843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0948707,"threshold_uncertainty_score":0.3173741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271768400759802,"score_gpt":0.2166412602369809,"score_spread":0.2039235762293829,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}